0432199 20240111140851.520141017235959.9 10.1007/978-3-319-10759-2 10 s. P cav_un_epca*0432198978-3-319-10758-52194-7287Part III249-258ChamSpringer2014SanayeiA.RosslerE. O.ZelinkaI. Chaos Lorenz systems Lyapunov exponent cav_un_auth*0259382 Augustová Petra Teorie řízení Department of Control Theory TŘ TR UTIA-B Department of Control Theory Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101066 Beran Zdeněk Teorie řízení Department of Control Theory TŘ TR UTIA-B Department of Control Theory Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101074 Čelikovský Sergej Teorie řízení Department of Control Theory TŘ TR UTIA-B Department of Control Theory Ústav teorie informace a automatizace AV ČR, v. v. i. textový dokument 261 kB GA13-20433S GA ČR cav_un_auth*0292613 The main aim of this paper is to demonstrate a possible risk of erroneous conclusions made throughout the process of the sampled data analysis. In particular, it will be shown that the false chaotic behavior of the sampled data may be incorrectly derived from the topological similarity with the already well known chaotic systems like that of Lorenz or from the positivity of the largest Lyapunov exponent. The possible faulty conclusions will be demonstrated using some examples that were recently published in various literature sources. cav_un_auth*0307020 ISCS 2014: The Interdisciplinary Symposium on Complex Systems Florencie 15.09.2014-18.09.2014 IT 2015 BC 3 PR RVO:67985556 http://hdl.handle.net/11104/0237213 S 2014 textový dokument 261 kB cav_un_epca*0432198 ISCS 2014: Interdisciplinary Symposium on Complex Systems Part III 978-3-319-10758-5 2194-7287 249 258 Cham Springer 2014 Library of Congress Control Number: 2014949171 Emergence, Complexity and Computation ECC 14 Sanayei A. 340 Rossler E. O. 340 Zelinka I. 340